Evidence map›Paper›PMID 36056235›Full record

ArticleCommunications biology2022

The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores.

Madeline L Page, Elizabeth L Vance, Matthew E Cloward, Ed Ringger, Louisa Dayton, Mark T W Ebbert, Alzheimer’s Disease Neuroimaging Initiative, Justin B Miller, John S K Kauwe

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Madeline L Page *Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.ORCID 0000-0001-9990-1500
Elizabeth L Vance *Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Matthew E Cloward *Department of Biology, Brigham Young University, Provo, UT, USA.ORCID 0000-0003-4775-5286
Ed RinggerDepartment of Biology, Brigham Young University, Provo, UT, USA.
Louisa DaytonDepartment of Biology, Brigham Young University, Provo, UT, USA.
Mark T W EbbertSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
Alzheimer’s Disease Neuroimaging Initiative
Justin B MillerSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.ORCID 0000-0002-5309-1570
John S K KauweDepartment of Biology, Brigham Young University, Provo, UT, USA. kauwe@byu.edu.ORCID 0000-0001-8641-2468

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Epidemiology of Alzheimer’s disease resilience and risk pedigreesRF1AG054052 · NIA · BRIGHAM YOUNG UNIVERSITY · PI KAUWE, JOHN SAI KEONG · 2016 to 2020
$3.6M
Using long-range technologies as a multi-omic approach to understand Alzheimer’s disease in brain tissueR01AG068331 · NIA · UNIVERSITY OF KENTUCKY · PI EBBERT, MARK T W · 2020 to 2024
$3.0M
Understanding how structural mutations and individual RNA isoformsare involved in human health and diseaseR35GM138636 · NIGMS · UNIVERSITY OF KENTUCKY · PI Mark T W Ebbert · 2020 to 2026
$2.9M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIA NIH HHS P30 AG066512NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG068331NIA NIH HHS RF1 AG054052NIA NIH HHS U01 AG024904NIGMS NIH HHS R35 GM138636
6 · The paper itself

Abstract

The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu ) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer's Disease Neuroimaging Initiative (ADNI), contextualize computed scores, and identify potentially confounding genetic risk factors in ADNI. We introduce a streamlined analysis tool and web interface to calculate and contextualize polygenic risk scores across various studies, which we anticipate will facilitate a wider adaptation of polygenic risk scores in future disease research.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceGenetic Predisposition to DiseaseHumansKnowledge BasesPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID36056235
PMCPMC9438378

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.